Aligning Multi-Cultural Knowledge Taxonomies by Combinatorial Optimization

  title={Aligning Multi-Cultural Knowledge Taxonomies by Combinatorial Optimization},
  author={Natalia Prytkova and Gerhard Weikum and Marc Spaniol},
Large collections of digital knowledge have become valuable assets for search and recommendation applications. The taxonomic type systems of such knowledge bases are often highly heterogeneous, as they reflect different cultures, languages, and intentions of usage. We present a novel method to the problem of multi-cultural knowledge alignment, which maps each node of a source taxonomy onto a ranked list of most suitable nodes in the target taxonomy. We model this task as combinatorial… CONTINUE READING


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